{"as_of":"2026-08-13T22:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9aeb50e6ab1959f0e0549fa623d38e4abd522a58248a4ad46924eca0f750ea3e","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:25:48.530304Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:54:18.134126Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T17:54:18.275368Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"cited_work":{"arxiv_id":"2505.15276","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.15276","snapshot_observed_at":"2026-08-06T17:54:18.275368Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","venue":"cs.AI","work_id":"70c17e72-6943-4745-92a8-09a1dcb8ba4f","year":2025},"citing_paper":{"arxiv_id":"2507.09662","last_updated":"2025-07-13T14:51:59Z","snapshot_observed_at":"2026-08-11T20:23:03.012064Z","submitted_at":"2025-07-13T14:51:59Z","title":"Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey","version":1},"reference_index":252,"source":"arxiv_source","source_observed_at":"2026-08-06T17:54:18.134126Z"},"links":{"cited_paper":"/paper/2505.15276","citing_paper":"/paper/2507.09662"},"observation_digest":"sha256:d309ae92e9c66026c63004a198e68a4ce19d2968164dc6e70ac68d5c153b0955","observation_id":"94bc20c2-237f-467c-85ec-0ecb142c8c7d","resolution":{"observed_at":"2026-08-06T17:54:18.282899Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.15276/citation-record","integrity":"/paper/2505.15276/integrity","json":"/paper/2505.15276/citation-record.json","paper":"/paper/2505.15276"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:46.895611Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:46.895611Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:7728af4b361beaff6d1227c84d62551e709d0c1a1b329cd378ee691834595b1a","observation_id":"2dda9f82-5159-478a-ae2d-f3c3c17c6ce3","resolution":{"observed_at":"2026-08-07T15:25:46.895611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:46.969543Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:46.969543Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:70493cb9442c4711e8d57e55c87b460234d3d556f8ee995ed3cff06dbf5fc282","observation_id":"7158a73c-ebe4-45e1-93b2-be49ce94950e","resolution":{"observed_at":"2026-08-07T15:25:46.969543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.04697","last_updated":"2025-10-03T01:55:58Z","snapshot_observed_at":"2026-08-06T08:53:09.095000Z","submitted_at":"2025-03-06T18:43:29Z","title":"L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.04697","snapshot_observed_at":"2026-08-07T15:25:47.031959Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.031959Z"},"links":{"cited_paper":"/paper/2503.04697","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:ae9e034dbbea97f3a5f6b69795aa67c25479f44adcb82101f41db82aedb53e1e","observation_id":"48c4bc4c-40b1-44be-b2ad-630f09d1fb9c","resolution":{"observed_at":"2026-08-07T15:25:47.031959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-13T13:46:57.497655Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":"2404.13099","doi":"10.48550/arxiv.2404.13099","metadata_source":"pith","pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","venue":"cs.CL","work_id":"11c45e87-e585-42f6-87ad-56b43364c8a6","year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.084141Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:3a827e4b4fc446617e56076a9a5252877911ed34c9a230aba495f134db121470","observation_id":"5b9c94d2-0d15-47b6-8e69-c531f8a9a3e7","resolution":{"observed_at":"2026-08-07T15:25:49.048617Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09567","last_updated":"2025-07-18T15:57:54Z","snapshot_observed_at":"2026-08-08T22:33:20.124926Z","submitted_at":"2025-03-12T17:35:03Z","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.09567","snapshot_observed_at":"2026-08-07T15:25:47.124956Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.124956Z"},"links":{"cited_paper":"/paper/2503.09567","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:c3586f5330e85695f464a521513b38d7e975a9dce21a0d26fb7ab71d75a9d645","observation_id":"20e7d7f3-19c8-4d16-9ee3-bb473ff2a0bf","resolution":{"observed_at":"2026-08-07T15:25:47.124956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.21187","last_updated":"2025-02-01T07:57:37Z","snapshot_observed_at":"2026-08-01T16:43:44.704797Z","submitted_at":"2024-12-30T18:55:12Z","title":"Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.21187","snapshot_observed_at":"2026-08-07T15:25:47.164256Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.164256Z"},"links":{"cited_paper":"/paper/2412.21187","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:d36231e4f092af44faef366f3a39f988121073f0493192781a444ec308774292","observation_id":"e382bb8b-1608-4342-8047-fb596c48d096","resolution":{"observed_at":"2026-08-07T15:25:47.164256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-07T15:25:47.232594Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.232594Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:22bffca3fa85932ed47aab3bff0e2b026ef6885c133200f5d39e4c63cf8cd4da","observation_id":"d2310bac-7a86-408e-8d27-06de66e977c8","resolution":{"observed_at":"2026-08-07T15:25:47.232594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-13T15:58:13.809876Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T15:25:47.288878Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.288878Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:54b304c20768059c40a2507aec2d899828690c690730d2982a0d55fed7bd98ec","observation_id":"15a6e827-8ae6-4fef-8909-da8cdff998a2","resolution":{"observed_at":"2026-08-07T15:25:47.288878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-08-11T01:48:59.557045Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-07T15:25:47.342960Z","title":"Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.342960Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:1f9bf53ccd768b22f9499e136ba5a287196363bfaeb095eb70f4c9871374e510","observation_id":"aca8fdb3-7bbe-4418-8bd1-be865449d35b","resolution":{"observed_at":"2026-08-07T15:25:47.342960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:49.685203Z","title":null,"venue":null,"work_id":"9775f54b-2fb7-43d4-98aa-0109b845b77b","year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.387800Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:d7a5c91f69b264fa003d308f653a0a1b1a29b8a5a1301d02f78f45d0f3f7c2dd","observation_id":"b712f6aa-865f-473d-9a73-b63fa25cb259","resolution":{"observed_at":"2026-08-07T15:25:49.712232Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.18547","last_updated":"2025-06-02T00:44:09Z","snapshot_observed_at":"2026-08-13T10:37:12.511011Z","submitted_at":"2024-12-24T16:55:45Z","title":"Token-Budget-Aware LLM Reasoning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.18547","snapshot_observed_at":"2026-08-07T15:25:47.430493Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.430493Z"},"links":{"cited_paper":"/paper/2412.18547","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:dad1e7ad3c450e776f9f76c015130568217f3d7534b7fa3522d766f92c277ff1","observation_id":"50be68a5-40f7-4b38-9608-f33181707c9f","resolution":{"observed_at":"2026-08-07T15:25:47.430493Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:49.578497Z","title":null,"venue":null,"work_id":"9364dd32-d351-4e14-8bf3-6563ac341752","year":2021},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.470838Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:ac4214805c88279c927975204d93268f822a6a63ad837825b462a002f061796f","observation_id":"1129153e-f04f-4541-b2a7-011376510d2a","resolution":{"observed_at":"2026-08-07T15:25:49.622337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:49.499899Z","title":"u ttler, Mike Lewis, Wen - tau Yih, Tim Rockt \\","venue":null,"work_id":"451fa045-5ea0-41ef-b2dc-a65a1e66f98f","year":2020},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.538867Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:597bb2d82411eedec52dd5b47e89b031099110bacbbc00d54811dca35113ce84","observation_id":"d9144f32-3f6a-4124-be0e-a342cd2fc897","resolution":{"observed_at":"2026-08-07T15:25:49.536008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:47.589088Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.589088Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:9068413e0f9422c7f93334507a5ae76886d4617832c49cb63c27ba2922d0b9ec","observation_id":"0f55d79f-5fa8-49ea-ac05-5c2d547af32e","resolution":{"observed_at":"2026-08-07T15:25:47.589088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.13626","last_updated":"2025-08-04T12:34:26Z","snapshot_observed_at":"2026-08-12T01:06:02.056196Z","submitted_at":"2025-04-18T11:07:19Z","title":"Thought Manipulation: External Thought Can Be Efficient for Large Reasoning Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.13626","snapshot_observed_at":"2026-08-07T15:25:47.648989Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.648989Z"},"links":{"cited_paper":"/paper/2504.13626","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:63a249b1d74183a1c0f08113a63e13fc7370365f8423dcbc7ec5d64a1e8db091","observation_id":"2e861286-df0e-46ba-81ff-33c224f1fb8b","resolution":{"observed_at":"2026-08-07T15:25:47.648989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.naacl-long.396","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"40c77a84-8cbc-425a-821d-087e051b6a21","year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.700787Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:d36a10b36bd879a8b6e18288c053cd676287f0cc23a1eb8e17e3a64bda581528","observation_id":"0f19dfa3-fc17-4a23-a171-8e08ee6f2f17","resolution":{"observed_at":"2026-08-07T15:25:48.887165Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.09858","last_updated":"2025-04-14T04:08:16Z","snapshot_observed_at":"2026-08-08T01:06:59.135762Z","submitted_at":"2025-04-14T04:08:16Z","title":"Reasoning Models Can Be Effective Without Thinking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.09858","snapshot_observed_at":"2026-08-07T15:25:47.751542Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.751542Z"},"links":{"cited_paper":"/paper/2504.09858","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:f956f135976285fe9fa032c7d36d507e99b1f0921359efa1da5ca85b375a917c","observation_id":"ed311d06-cbb6-4948-85d6-d3ed102d0f6a","resolution":{"observed_at":"2026-08-07T15:25:47.751542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:49.398293Z","title":null,"venue":null,"work_id":"b874431c-1227-4e62-8203-5b71b44a4f1c","year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.798910Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:b742059f598d54c49d4add66e11a5cfe238cbd7907d38ad1e3ee23f40146d5a0","observation_id":"3bb919ec-520d-4399-9a11-2bcc38e7ad96","resolution":{"observed_at":"2026-08-07T15:25:49.433158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19393","last_updated":"2025-03-01T06:07:39Z","snapshot_observed_at":"2026-07-06T20:29:11.710285Z","submitted_at":"2025-01-31T18:48:08Z","title":"s1: Simple test-time scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19393","snapshot_observed_at":"2026-08-07T15:25:47.857077Z","title":"Cand \\` e s, and Tatsunori Hashimoto","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.857077Z"},"links":{"cited_paper":"/paper/2501.19393","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:1d135637522af71b99b6c3d3085c7771bca8cb09871dc8767d59056402d96a25","observation_id":"01a15e2f-0756-49a4-82f8-488e8436cf95","resolution":{"observed_at":"2026-08-07T15:25:47.857077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T15:25:47.902365Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.902365Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:6a393ac14fc66bb504f9c038615ae761498757ccf1d4d6a74b14d97411713b26","observation_id":"48de6ff9-a166-4975-9094-d89072981ec9","resolution":{"observed_at":"2026-08-07T15:25:47.902365Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:49.302498Z","title":null,"venue":null,"work_id":"5d287375-0f14-41d7-9348-0fa7b12f9ac5","year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.974474Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:e88e082d5b5894a3a7cf8d3a33b8866c2ced7da2ffe2040b468dd01317447773","observation_id":"217a0895-3f8b-4188-b848-6c89f635a91b","resolution":{"observed_at":"2026-08-07T15:25:49.344098Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13296","last_updated":"2024-10-30T01:04:15Z","snapshot_observed_at":"2026-08-12T22:58:36.142991Z","submitted_at":"2024-08-23T14:48:02Z","title":"The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13296","snapshot_observed_at":"2026-08-07T15:25:48.017209Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.017209Z"},"links":{"cited_paper":"/paper/2408.13296","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:775bb5ce6f24c81027d793e0e43db6c6766a54fb8ca0cd566ca8a5ec1540b2b6","observation_id":"9862e8ad-de5e-4de1-a60f-572ecbcd0629","resolution":{"observed_at":"2026-08-07T15:25:48.017209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07572","last_updated":"2025-03-10T17:40:43Z","snapshot_observed_at":"2026-08-10T14:40:38.654692Z","submitted_at":"2025-03-10T17:40:43Z","title":"Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07572","snapshot_observed_at":"2026-08-07T15:25:48.065006Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.065006Z"},"links":{"cited_paper":"/paper/2503.07572","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:1b7b87970caa6e1c6009c95bfe1fda7fb3a5c63c00d6384e65691fea03b96c62","observation_id":"67d9088e-a32b-4723-8867-4a9ef489ad46","resolution":{"observed_at":"2026-08-07T15:25:48.065006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:49.224766Z","title":null,"venue":null,"work_id":"3d7a4264-422a-409a-b41d-0081e773430f","year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.121522Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:1fa3078176f66a05af487cad8b16fe3e0d69dcd16c2b5c5f682a61fa845186bb","observation_id":"7561e2aa-27b4-44ae-97ee-da057d68c799","resolution":{"observed_at":"2026-08-07T15:25:49.268275Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-07T15:25:48.190884Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.190884Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:38ebf7dd3206d1686d2019dd2bc43558cf05040f488b1522c90ad453ed930dd7","observation_id":"7efa5a83-f7f9-4d8a-bad1-05507801e2f3","resolution":{"observed_at":"2026-08-07T15:25:48.190884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16419","last_updated":"2025-08-21T19:14:40Z","snapshot_observed_at":"2026-08-11T13:10:23.709172Z","submitted_at":"2025-03-20T17:59:38Z","title":"Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16419","snapshot_observed_at":"2026-08-07T15:25:48.238572Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.238572Z"},"links":{"cited_paper":"/paper/2503.16419","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:9e77d80c4864cf6a9946025ac6d66a9e5c6d30907c56daa9febfa954458f3393","observation_id":"4229cc8a-6a5b-46c4-924d-13553699e247","resolution":{"observed_at":"2026-08-07T15:25:48.238572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09686","last_updated":"2025-01-23T08:44:44Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-16T17:37:58Z","title":"Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09686","snapshot_observed_at":"2026-08-07T15:25:48.278659Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.278659Z"},"links":{"cited_paper":"/paper/2501.09686","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:b609053dfffe7b2b8481061033c9242619fe7f1bfe6564a9e475ba7f3ea20251","observation_id":"6bd0f2a5-b555-4c70-89d9-249b0936b9f7","resolution":{"observed_at":"2026-08-07T15:25:48.278659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18600","last_updated":"2025-03-03T17:08:21Z","snapshot_observed_at":"2026-08-07T17:49:06.764625Z","submitted_at":"2025-02-25T19:36:06Z","title":"Chain of Draft: Thinking Faster by Writing Less","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18600","snapshot_observed_at":"2026-08-07T15:25:48.328140Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.328140Z"},"links":{"cited_paper":"/paper/2502.18600","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:9e4fe36f0dd5aebb89d042234822e91380a6e009357830bed626b07976604f0f","observation_id":"7c1fc73b-cab9-4220-824f-2ca048e0b9f2","resolution":{"observed_at":"2026-08-07T15:25:48.328140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-07T15:25:48.388434Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.388434Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:313e4a5d39cb88562a840f42d7578882299f92f12989387e1cb9d0846be65f12","observation_id":"8d9baae8-3f74-49b6-9e3b-e98bbb963281","resolution":{"observed_at":"2026-08-07T15:25:48.388434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:25:48.424721Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.424721Z"},"links":{"citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:93d47fa209ddc4fcffbb452cd7ca65fa05e55f0f3a4b652e24ae0c7cf1f22b73","observation_id":"692f2d51-8c57-4511-a186-f380d0fa49ab","resolution":{"observed_at":"2026-08-07T15:25:48.424721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-07T15:25:48.470149Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.470149Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:76be4beb1c5a023d77b32a24505fe4e9dd82c0aaf820b30e0608becda6fe7fbc","observation_id":"dcd1c1ed-c3e5-479d-8543-210379586bcc","resolution":{"observed_at":"2026-08-07T15:25:48.470149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14245","last_updated":"2025-05-28T01:19:26Z","snapshot_observed_at":"2026-08-07T18:03:04.162159Z","submitted_at":"2025-02-20T04:19:05Z","title":"Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14245","snapshot_observed_at":"2026-08-07T15:25:48.530304Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:48.530304Z"},"links":{"cited_paper":"/paper/2502.14245","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:f82c2e81d70532fd01f007980cbcd2022f1a557f3af46db73f36a979d532d727","observation_id":"be92d59c-6ca9-45bc-adec-d135ca8ce10f","resolution":{"observed_at":"2026-08-07T15:25:48.530304Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T04:51:22.646667Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":29,"verified_exact":2,"verified_fuzzy":1},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.15276."}